#java #adjacency #adjacency_matrix #algorithm #algorithms #dijkstra #dynamic_programming #edmonds_karp_algorithm #geometry #graph_theory #linear_algebra #mathematics #matrix_multiplication #maxflow #nlog #search_algorithm #search_algorithms #sorting_algorithms #strings #traveling_salesman #tree_algorithms

https://github.com/williamfiset/Algorithms

#other #2021 #artificial_intelligence #cheat_sheets #course #coursera #coursera_machine_learning #deep_learning #learn_to_code #learning #learning_python #linear_algebra #machine_learning #neural_networks #practice #probability_statistics #read_articles #tutorial #tutorials #youtube #youtube_playlist

https://github.com/louisfb01/start-machine-learning-in-2020

#python #attention #cbam #excitation_networks #linear_layers #paper #pytorch #squeeze #visual_tasks

https://github.com/xmu-xiaoma666/External-Attention-pytorch

#python #attention_mechanism #deep_learning #gpt #gpt_2 #gpt_3 #language_model #linear_attention #lstm #pytorch #rnn #rwkv #transformer #transformers

https://github.com/BlinkDL/RWKV-LM

#typescript #django #docker #jira #jira_alternative #kanban #linear #nextjs #postgresql #project_management #python #react #redis #rest_api

https://github.com/makeplane/plane

#cplusplus #high_performance #interior_point_method #linear_optimization #mixed_integer_programming #parallel #quadratic_programming #simplex

HiGHS is a free, high-performance software that solves large and complex optimization problems like linear, quadratic, and mixed-integer programming. It works fast on many computers, including Linux, MacOS, and Windows, without needing extra software. You can use it through various programming languages like Python, C, C#, and Fortran, making it easy to integrate into your projects. HiGHS supports both serial and parallel computing, and it is advancing GPU acceleration for even faster solutions. This helps you efficiently find the best solutions for planning, scheduling, and decision-making problems in science, engineering, and business. Installation is straightforward, and detailed documentation is available to guide you[1][2][3][4].

https://github.com/ERGO-Code/HiGHS

#typescript #ai_textbook #algorithms #artificial_intelligence #computer_science #computer_vision #deep_learning #jax #linear_algebra #machine_learning #machine_learning_algorithms #math #mathematics #multimodal_learning #nlp #probability #python #reinforcement_learning #speech_processing #statistics

This free, open textbook teaches math, computer science, and AI from the ground up by prioritizing intuition and real-world context over dense formulas, helping you deeply understand concepts instead of just passing exams . You only need basic math and Python to start, as the material connects all topics into a clear, logical flow designed for curious practitioners . The key benefit is that it gives you the quality knowledge needed to master complex AI roles, proven by friends who used these notes to get hired at top companies like DeepMind and OpenAI .

https://github.com/HenryNdubuaku/maths-cs-ai-compendium